Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
[NJ] Engagement Lead - Analytics
Princeton, NJ
Live, first seen by us 55 days ago- Pay
- Pay not listedSimilar roles state $118K–$195K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Employer’s visa record
- 10 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingDrive end-to-end data science projects, from problem framing to model validation
Build reusable accelerators and internal ML and AI products
Set and enforce standards for rigor, documentation, and reproducibility
Lead client discussions and presentations of technical results
Partner with data and engineering teams to operationalize outputs and pipelines
From the employer’s posting
Drive end-to-end data science projects, including problem framing, exploratory data analysis, feature development, and model development and validation
Build internal product offerings and reusable accelerators, such as packaged modeling workflows and internal ML and AI products.
Set and enforce standards for rigor, documentation, and reproducibility across the workstream
Lead client discussions and presentations, translating technical results into clear business wins.
Partner with data and engineering teams as needed to operationalize outputs, including repeatable pipelines, handoffs, and monitoring considerations
What you’ll bring
All qualificationsCore experience
- 5-7 years of experience in data science, advanced analytics and applied ML
- Expertise in SQL and relational datasets
- Extensive Python or R for analysis and modeling
- Strong applied statistics and ML/AI modeling experience
Qualification wording
5-7 years of relevant experience in data science with a focus on advanced analytics and applied ML.
Expertise in SQL and strong fluency with relational datasets.
Extensive Python or R experience for analysis and modeling.
Strong applied Statistical foundation for building and evaluating models
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 19, 202655 days ago
- Recorded sightings
- 69
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 55
Similar jobs usually come down between day 8 and day 60.
Well past ProcDNA’s usual: its jobs come down by about day 21.
From 11,783 similar postings that came down, and 5 of ProcDNA’s. Coming down is not always a hire.
ProcDNA is hiring
24 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
Where the posting names them
- Strong experience with ML and AI modeling concepts and practical application across multiple projects. Expertise in SQL and strong fluency with relational datasets. - Extensive Python or R experience for analysis and modeling. - Excellent communication skills, verbal and written, with strong client-facing presence.
- Strong applied Statistical foundation for building and evaluating models - Strong experience with ML and AI modeling concepts and practical application across multiple projects. Expertise in SQL and strong fluency with relational datasets. - Extensive Python or R experience for analysis and modeling.
Your next step
Complete your application on procdna.applytojob.com. The employer’s form will show what is required.
Applying through JazzHR
- No account needed: one application form on the employer’s applytojob.com page.
Already applied? Track this application
Has ProcDNA posted this job before?
Yes. We’ve followed one other [NJ] Engagement Lead - Analytics job there since August 2026. It is still up.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
About ProcDNA
ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 450+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?
What we are looking for
ProcDNA is seeking a Data Scientist to join our team. The ideal candidate brings deep experience leading advanced analytics and machine learning work in the pharma industry and can translate complex business problems into clear analytical strategies. You are comfortable owning end-to-end delivery, leading client conversations, mentoring teams, and shaping internal product offerings that can be scaled across engagements.
What you will do
ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 450+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?
What we are looking for
ProcDNA is seeking a Data Scientist to join our team. The ideal candidate brings deep experience leading advanced analytics and machine learning work in the pharma industry and can translate complex business problems into clear analytical strategies. You are comfortable owning end-to-end delivery, leading client conversations, mentoring teams, and shaping internal product offerings that can be scaled across engagements.
What you will do
- Drive end-to-end data science projects, including problem framing, exploratory data analysis, feature development, and model development and validation, taking lead on approach decisions and tradeoffs.
- Build internal product offerings and reusable accelerators, such as packaged modeling workflows and internal ML and AI products.
- Set and enforce standards for rigor, documentation, and reproducibility across the workstream, ensuring outputs are audit-ready and client-ready
- Lead client discussions and presentations, translating technical results into clear business wins.
- Partner with data and engineering teams as needed to operationalize outputs, including repeatable pipelines, handoffs, and monitoring considerations
- Master’s degree or higher in a quantitative field with a strong academic record.
- 5-7 years of relevant experience in data science with a focus on advanced analytics and applied ML.
- Strong applied Statistical foundation for building and evaluating models
- Strong experience with ML and AI modeling concepts and practical application across multiple projects. Expertise in SQL and strong fluency with relational datasets.
- Extensive Python or R experience for analysis and modeling.
- Excellent communication skills, verbal and written, with strong client-facing presence.
- Strong problem-solving mindset, detail orientation, and ability to independently manage dynamic, multi stakeholder workstreams.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Princeton, NJ
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.